Posted 24 days ago
Data Analyst IV
@ Randstad Canada
Toronto, Ontario
SIGNALS
Overview
Randstad Canada is hiring a Data Analyst IV, a contract-to-hire data and analytics product owner for a financial enterprise's Risk Data & Analytic Product team. The role combines Power BI, advanced SQL and Python work with Agile product ownership and roadmap design. The posting states a full-time contract, a hybrid arrangement starting remote, and Monday to Friday core business hours with overtime as needed.
Pay:
$47.17–$54.76 an hour
Responsibilities:
- Serve as Product Owner for risk analytics products and manage the backlog
- Lead Agile ceremonies and prioritize deliverables
- Build and maintain Power BI dashboards, data models and DAX measures
- Write complex SQL and Python automation for data validation and reporting
- Support cloud data modernization on Azure and Databricks
Requirements summary:
- 8+ years combined data analytics, BI and Agile product ownership experience
- Proven delivery of data products in a large enterprise
- Advanced Power BI development and performance tuning
- Advanced SQL querying and Python automation
- Undergraduate degree in a quantitative or business discipline
Tools & skills
Source and dates
Employer career site / ATS feed · careerpage
- Employer posting date
- 2026-10-13
- First seen by our source
- 2026-10-13
- Source record updated
- 2026-10-13
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Senior |
| Department | Data & analytics |
| Experience | 8+ years |
| Hours per week | 40 |
| Schedule | day |
| Travel | air: none · ground: none |
| Work setting | Home, Office |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
| Encouraged to apply | Women, Indigenous peoples, People with disabilities, Racialized people, 2SLGBTQ+ |
| Education | Bachelor’s degree (required) |
| Fields of study | Computer Science, Data Analytics, Mathematics, Statistics, Engineering |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Randstad Canada
Saved company profile
Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.
partner for talent.
Full company description
As the Canadian leader in recruitment and HR, and one of Canada’s best places to work, we have a uniquely human approach to work. We deliver HR innovation with human interaction at its core. At the unique intersection of technology and humanity, we deliver data-driven insights coupled with a people-first experience that is inherently human. Human Forward. Learn more at www.randstad.ca.
- LinkedIn followers
- 455,966
- People associated on LinkedIn
- 1,207
- Reported office locations
- 777 Bay Street, Suite 2000, PO Box 128, Toronto, ON M5G 2C8, CA
- 525 Avenue Viger Ouest, Suite 501, Montréal, Quebec H2Z 1G6, CA
- 4295 King St E, Suite 401, Kitchener, Ontario N2P 0C6, CA
- 311 6 Ave SW, Intact Place, East Tower, Suite 1640, Calgary, AB T2P 3H2, CA
- 6345 Dixie Rd, Suite 6, Mississauga, ON L5T 2E6, CA
- 244 Pall Mall St, Suite 400, London, ON N6A 5P6, CA
- 4 Cedar Pointe Dr, Unit D, Barrie, Ontario L4N 5R7, CA
- 2456 Queen St E, Unit 201, Brampton, Ontario L6S 5X9, CA
- 10 Stanley St, Suite 4A, Brantford, Ontario N3S 7N4, CA
- 7055 Boulevard Taschereau, Suite 100, Brossard, Quebec J4Z 1A7, CA
- 1100 Walkers Line, Suite 105, Burlington, Ontario L7N 2G3, CA
- 10655 Southport Rd SW, Suite 1200, Calgary, Alberta T2W 4Y1, CA
- 495 36 St NE, Suite 140, Calgary, Alberta T2A 6K3, CA
- 321 6 Ave SW, Suite W940 (West Tower), Calgary, Alberta T2P 0B2, CA
- 415 Hespeler Rd, Unit 3A, Cambridge, Ontario N1R 6J1, CA
- 6001 60 Ave, Delta, British Columbia V4K 4E2, CA
- 787 Rue St-Pierre, Suite 303, Drummondville, Quebec J2C 3X2, CA
- 10025 102A Ave NW, Suite 1902, Edmonton, Alberta T5J 2Z2, CA
- 2305 111 St NW, Edmonton, Alberta T6J 5E5, CA
- 5 Boulevard Mountain, Granby, Quebec J2G 9M5, CA
- 450 Speedvale Ave W, Unit 103, Guelph, Ontario N1H 7Y6, CA
- 1809 Barrington St, CIBC Building, Unit 501, Halifax, Nova Scotia B3J 3K8, CA
- 275 James St N, Unit 2, Hamilton, Ontario L8R 2L4, CA
- 7655 Boulevard Newman, Suite 75, Montreal, Quebec H8N 1X7, CA
- 2530 Boulevard Daniel-Johnson, Laval, Quebec H7T 2R3, CA
- 2528 Boulevard Daniel-Johnson, Laval, Quebec H7T 2R3, CA
- 5410 Boulevard Guillaume-Couture, Suite 84, Lévis, Quebec G6V 4Z2, CA
- 460 Rue St-Charles O, Suite A, Longueuil, Quebec J4Z 1A7, CA
- 80 Tiverton Ct, Suite 400, Markham, Ontario L3R 0G4, CA
- 7357 Woodbine Ave, Suite 2, Markham, Ontario L3R 1A7, CA
- 4080 Confederation Pkwy, Suite 501, Mississauga, Ontario L5B 0G1, CA
- 6345 Dixie Rd, Suite 6, Mississauga, Ontario L5T 2E6, CA
- 809 Columbia St, New Westminster, British Columbia V3M 1B9, CA
- 20 York Mills Rd, Unit 208, Toronto, Ontario M2P 2C2, CA
- 1600 Carling Ave, Suite 410, Ottawa, Ontario K1Z 1G3, CA
- 2222 Carling Ave, Suite 2, Ottawa, Ontario K2A 1H3, CA
- 4810 Boul Saint-Jean, Montréal, Quebec H9H 4B2, CA
- 755 Boulevard Saint-Jean, Suite 130, Pointe-Claire, Quebec H9R 5M9, CA
- 815 Boulevard Lebourgneuf, Suite 201, Québec, Québec G2J 0C1, CA
- 2010 11th Ave, 7th Floor, Regina, Saskatchewan S4P 0J3, CA
- 208 Boulevard du Curé-Labelle, Sainte-Thérèse, Quebec J7E 2X7, CA
- 3500 Boulevard de la Côte-Vertu, Suite 175, Saint-Laurent, Quebec H4R 2X7, CA
- 6335 Rue Jean-Talon Est, Saint-Léonard, Quebec H1S 3E7, CA
- 310 Wall St, Saskatoon, Saskatchewan S7K 1N7, CA
- 124 Rue Wellington Nord, Suite 300, Sherbrooke, Quebec J1H 5X8, CA
- 701 W Georgia St, Suite 200, Vancouver, British Columbia V7Y 1C6, CA
- 730 View St, Suite 420, Victoria, British Columbia V8W 3Y7, CA
- 100 Regina St S, Suite 140, Waterloo, Ontario N2J 4P9, CA
- 114 Dundas St E, Unit 103, Whitby, Ontario L1N 2H7, CA
- 245 Portage Ave, Winnipeg, Manitoba, CA
- 1 Lombard Pl, Suite 1535, Winnipeg, Manitoba R3B 0X3, CA
- 386 Boulevard Charest E, Quebec, QC G1K 3H4, CA
- Other recorded names
- Randstad Canada
- Specialties
- HR Consulting
- IT Recruitment
- Engineering Recruitment
- Staffing and HR
- HR Services
- Recruitment
- HR Outsourcing
- Temporary Hiring
- Permanent Hiring
- Recruiting
- Permanent Jobs
- Temp Jobs
- Hiring Strategy
- Human Resources
- Staffing
- Finding Jobs
- Employer Branding
- Jobs
- and Contract Jobs
- Profile identifies a recruitment agency
- Yes
As the Canadian leader in recruitment and HR, and one of Canada’s best places to work, we have a uniquely human approach to work. We deliver HR innovation with human interaction at its core. At the unique intersection of technology and humanity, we deliver data-driven insights coupled with a people-first experience that is inherently human. Human Forward. Learn more at www.randstad.ca.
| Field | Value |
|---|---|
| Industry | Staffing and Recruiting |
| Company size | 501-1,000 employees |
| Headquarters | Toronto, ON |
| Organization type | Public Company |
| Year founded | 1997 |
| Specialties | HR ConsultingIT RecruitmentEngineering RecruitmentStaffing and HRHR ServicesRecruitmentHR OutsourcingTemporary HiringPermanent HiringRecruiting |
| Open jobs on Jobsy | 9,428 |
| View page |
Job description
Our client, is seeking an experienced, highly versatile Data Analyst IV (Data & Analytics Product Owner - Risk Strategy & Enablement) to join their Risk Data & Analytic Product (DAP) team.
In this high-visibility, dual-capacity role, you will combine deep technical data analytics expertise with Product Owner leadership to drive the end-to-end delivery of data products, reporting solutions, and automated analytics. Acting as the primary liaison between Risk Management, Lines of Business, and Data Engineering teams, you will define product roadmaps, build prioritized backlogs in an Agile environment, and develop interactive Power BI dashboards, advanced SQL transformations, and Python automation scripts. Operating initially in a remote capacity with a planned transition to a hybrid in-office model, you will leverage cloud platforms like Azure and Databricks to modernize risk reporting, optimize data accessibility, and enable data-driven decision-making across the enterprise.
Duration: Full-Time Contract Engagement (High potential for conversion to permanent FTE)
Work Arrangement: Hybrid (Currently remote; transitioning to a mandatory hybrid in-office expectation down the road. Must be within commuting distance of corporate office)
Schedule: Monday to Friday, core business hours (Overtime as needed)
Advantages
FTE Conversion Pathway: Strong opportunity to convert to a permanent full-time (FTE) role with a leading financial enterprise.
Dual-Capacity Career Growth: Uniquely blend hands-on technical data engineering/BI development with strategic Agile product leadership and roadmap design.
Modern Cloud Data Ecosystem: Gain deep exposure to cloud-native data architectures, including Azure Data Factory, Synapse Analytics, Databricks, and Unity Catalog.
Enterprise Risk Leadership: Shape core data strategy, executive dashboards, and automated reporting frameworks for senior Risk Management executives.
Responsibilities
Product Ownership & Backlog Management: Serve as Product Owner for risk analytics products, defining product visions, building roadmaps, and translating business needs into epics, user stories, and acceptance criteria.
Agile Facilitation & Governance: Lead Agile ceremonies (sprint planning, backlog refinement, stand-ups, retrospectives) while prioritizing deliverable backlogs against technical dependencies and business strategy.
BI Dashboard & Analytics Development: Design, build, optimize, and maintain high-performing interactive Power BI dashboards, data models, DAX measures, and Power Query transformations.
Data Engineering & Automation: Write complex SQL queries, views, and stored procedures to profile and model datasets; utilize Python scripts to automate data validation, processing, and reporting workflows.
Cloud Platform Support: Collaborate with data engineers to support the Risk Data Factory and cloud modernization initiatives using Azure Data Factory, Synapse, and Databricks.
Stakeholder Management & Communications: Lead business discovery sessions, provide executive status updates, create data dictionaries/mapping specs, and support change management for analytics adoption.
Qualifications
Data Analytics & Product Ownership Depth: 8+ years of combined hands-on experience in data analytics, business intelligence, business analysis, and Agile product ownership.
Large Enterprise Track Record: Proven experience delivering data products and business analysis within a large-scale corporate enterprise.
Advanced Power BI Mastery: Demonstrated expertise in Power BI development, including data modeling, complex DAX measures, Power Query, and performance tuning.
Advanced SQL & Database Querying: Strong proficiency writing advanced SQL queries to analyze, profile, and transform complex relational datasets.
Python for Automation: Hands-on experience using Python for data analysis, pipeline automation, reconciliation, and data manipulation.
Agile Framework Proficiency: Solid understanding of Agile delivery methodologies, backlog refinement, user story writing, and product lifecycle management.
Education: Undergraduate degree in Computer Science, Data Analytics, Mathematics, Statistics, Engineering, Economics, Business Analytics, Finance, or a related discipline.
Preferred Assets & Nice-to-Haves
Industry domain experience in Financial Services, Banking, Enterprise Risk, Credit Risk, Market Risk, or Regulatory Reporting.
Hands-on exposure to cloud data tools including Azure Data Factory, Synapse Analytics, Databricks, or Unity Catalog.
Formal Agile or Product certifications (e.g., CSPO, SAFe PO/PM, or PMP).
Experience with additional analytics tools such as Alteryx, Visio, or advanced Excel modeling.
Summary
If you are a tech-savvy Senior Data Analyst and Product Owner who pairs 8+ years of enterprise experience with advanced Power BI, SQL, and Python skills alongside strong Agile product backlog leadership, this contract-to-hire opportunity is an ideal next step. Bring your data modeling precision, stakeholder facilitation skills, and product vision to our client's risk analytics team today!
Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.
Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to [email protected] to ensure their ability to fully participate in the interview process.
This posting is for existing and upcoming vacancies.
In this high-visibility, dual-capacity role, you will combine deep technical data analytics expertise with Product Owner leadership to drive the end-to-end delivery of data products, reporting solutions, and automated analytics. Acting as the primary liaison between Risk Management, Lines of Business, and Data Engineering teams, you will define product roadmaps, build prioritized backlogs in an Agile environment, and develop interactive Power BI dashboards, advanced SQL transformations, and Python automation scripts. Operating initially in a remote capacity with a planned transition to a hybrid in-office model, you will leverage cloud platforms like Azure and Databricks to modernize risk reporting, optimize data accessibility, and enable data-driven decision-making across the enterprise.
Duration: Full-Time Contract Engagement (High potential for conversion to permanent FTE)
Work Arrangement: Hybrid (Currently remote; transitioning to a mandatory hybrid in-office expectation down the road. Must be within commuting distance of corporate office)
Schedule: Monday to Friday, core business hours (Overtime as needed)
Advantages
FTE Conversion Pathway: Strong opportunity to convert to a permanent full-time (FTE) role with a leading financial enterprise.
Dual-Capacity Career Growth: Uniquely blend hands-on technical data engineering/BI development with strategic Agile product leadership and roadmap design.
Modern Cloud Data Ecosystem: Gain deep exposure to cloud-native data architectures, including Azure Data Factory, Synapse Analytics, Databricks, and Unity Catalog.
Enterprise Risk Leadership: Shape core data strategy, executive dashboards, and automated reporting frameworks for senior Risk Management executives.
Responsibilities
Product Ownership & Backlog Management: Serve as Product Owner for risk analytics products, defining product visions, building roadmaps, and translating business needs into epics, user stories, and acceptance criteria.
Agile Facilitation & Governance: Lead Agile ceremonies (sprint planning, backlog refinement, stand-ups, retrospectives) while prioritizing deliverable backlogs against technical dependencies and business strategy.
BI Dashboard & Analytics Development: Design, build, optimize, and maintain high-performing interactive Power BI dashboards, data models, DAX measures, and Power Query transformations.
Data Engineering & Automation: Write complex SQL queries, views, and stored procedures to profile and model datasets; utilize Python scripts to automate data validation, processing, and reporting workflows.
Cloud Platform Support: Collaborate with data engineers to support the Risk Data Factory and cloud modernization initiatives using Azure Data Factory, Synapse, and Databricks.
Stakeholder Management & Communications: Lead business discovery sessions, provide executive status updates, create data dictionaries/mapping specs, and support change management for analytics adoption.
Qualifications
Data Analytics & Product Ownership Depth: 8+ years of combined hands-on experience in data analytics, business intelligence, business analysis, and Agile product ownership.
Large Enterprise Track Record: Proven experience delivering data products and business analysis within a large-scale corporate enterprise.
Advanced Power BI Mastery: Demonstrated expertise in Power BI development, including data modeling, complex DAX measures, Power Query, and performance tuning.
Advanced SQL & Database Querying: Strong proficiency writing advanced SQL queries to analyze, profile, and transform complex relational datasets.
Python for Automation: Hands-on experience using Python for data analysis, pipeline automation, reconciliation, and data manipulation.
Agile Framework Proficiency: Solid understanding of Agile delivery methodologies, backlog refinement, user story writing, and product lifecycle management.
Education: Undergraduate degree in Computer Science, Data Analytics, Mathematics, Statistics, Engineering, Economics, Business Analytics, Finance, or a related discipline.
Preferred Assets & Nice-to-Haves
Industry domain experience in Financial Services, Banking, Enterprise Risk, Credit Risk, Market Risk, or Regulatory Reporting.
Hands-on exposure to cloud data tools including Azure Data Factory, Synapse Analytics, Databricks, or Unity Catalog.
Formal Agile or Product certifications (e.g., CSPO, SAFe PO/PM, or PMP).
Experience with additional analytics tools such as Alteryx, Visio, or advanced Excel modeling.
Summary
If you are a tech-savvy Senior Data Analyst and Product Owner who pairs 8+ years of enterprise experience with advanced Power BI, SQL, and Python skills alongside strong Agile product backlog leadership, this contract-to-hire opportunity is an ideal next step. Bring your data modeling precision, stakeholder facilitation skills, and product vision to our client's risk analytics team today!
Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.
Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to [email protected] to ensure their ability to fully participate in the interview process.
This posting is for existing and upcoming vacancies.
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